System Requirements Document for betbuddy

1. Introduction

The purpose of this document is to outline the system requirements for "betbuddy," an application designed to assist bettors in making informed betting choices. The app analyzes teams based on their win-loss ratios and player injuries, providing insights to enhance betting decisions. The target audience for this application is bettors seeking a tech-forward, data-centric experience.

2. System Overview

betbuddy is a betting analysis application that provides users with insights into team performance and player injuries to aid in betting decisions. The application is designed for bettors who require detailed analysis and cutting-edge technology to inform their betting strategies. The system includes several key components, such as team analysis based on win-loss ratios, player injury information, and betting insights. The application is delivered as a custom UI with app-owned identity, ensuring a seamless and secure user experience.

2a. Product Interpretation and Delivery Boundary

The application is designed to be accessed by bettors who can enroll and verify their identity to access personalized analysis. The system includes a public entry point for anonymous users to learn about the app's capabilities, followed by a login process for returning users to access their personalized dashboard. The application does not include adjacent capabilities such as account management or external data integration beyond the specified analysis features.

2b. Source Content Inventory

Not applicable as no content source directive was provided.

2c. Page Content and Component Coverage

Landing

• Information/State: Introduction to the app, its purpose, and benefits for bettors.
• Primary Actions: Learn more about the app, proceed to login.
• Components: Hero section with 3D data visualization, overview of features.
• States: Loading, error, success.

Login

• Information/State: User authentication interface.
• Primary Actions: Enter credentials, submit login.
• Components: Login form, error messages for invalid credentials.
• States: Loading, error, success.

Dashboard

• Information/State: User-specific analysis hub.
• Primary Actions: Access matchup analysis, view betting insights.
• Components: Navigation to analysis pages, summary of recent insights.
• States: Loading, empty, error, success.

Matchup Analysis

• Information/State: Selection of teams or matchups for evaluation.
• Primary Actions: Select teams, initiate analysis.
• Components: Team selection interface, analysis initiation button.
• States: Loading, error, success.

Team Comparison

• Information/State: Comparative analysis of selected teams' win-loss performance.
• Primary Actions: View comparison results.
• Components: Comparison charts, performance metrics.
• States: Loading, error, success.

Injuries

• Information/State: Player injury information for selected teams.
• Primary Actions: View injury details.
• Components: Injury list, impact assessment.
• States: Loading, error, success.

Betting Insights

• Information/State: Combined analysis of team performance and player injuries.
• Primary Actions: View insights, make informed betting choices.
• Components: Insights dashboard, betting recommendations.
• States: Loading, error, success.

3. Functional Requirements

• As a Bettor, I should be able to analyze teams using win-loss ratios to inform my betting choices. (Provenance: explicit)
• As a Bettor, I should be able to include player injury information in my analysis to make more informed betting decisions. (Provenance: explicit)
• As a Bettor, I should be able to access betting insights that combine team performance and injury factors. (Provenance: explicit)
• As a Bettor, I should be able to enroll and verify my identity to access personalized analysis. (Provenance: required_inference)

4. User Personas

• Bettor: The primary user of the application, responsible for assessing team performance and player injuries to inform their betting choices.

5. Core User Flows

1. Anonymous Entry and Learning

   • Trigger: User visits the Landing page.
   • Actions: User reads about the app, its features, and benefits.
   • Outcome: User decides to proceed to login or leave.

2. User Login and Verification

   • Trigger: User selects to login.
   • Actions: User enters credentials and submits.
   • Outcome: Successful login leads to the Dashboard; failure returns an error message.

3. Dashboard Navigation

   • Trigger: User accesses the Dashboard.
   • Actions: User selects to perform a matchup analysis or view betting insights.
   • Outcome: User navigates to the chosen analysis page.

4. Matchup Analysis

   • Trigger: User selects teams for analysis.
   • Actions: User initiates analysis.
   • Outcome: User views team comparison and injury information.

5. Viewing Betting Insights

   • Trigger: User accesses the Betting Insights page.
   • Actions: User reviews combined analysis.
   • Outcome: User makes informed betting decisions.

6. Visuals Colors and Theme

• Muse: Gleb Kuznetsov
• Palette:
  • Background: #000022
  • Surface: #101022
  • Text: #FFFFFF
  • Primary: #00FFFF
  • Accent: #FF00FF
  • Muted: #333355
• Typography:
  • Headings: Orbitron
  • Body: Space Grotesk
  • Scale: 1.5 modular
• Shape Language: Floating glass panels, thin luminous strokes, radial layouts
• Layout: Full-bleed 3D scene with floating data panels
• Motion: Continuous slow orbit and parallax with data streams and light sweeps

7. Signature Design Concept

The Landing page features a full-bleed 3D data visualization hero with electric cyan glows against a deep black/navy ground. Floating glass panels contain key metrics, providing an immersive introduction to the app's capabilities.

8. Interaction Model & Motion Direction

• Interaction Model: Animated
• Motion Tempo: Cinematic
• Hero Dimensionality: WebGL
• Landing Hero Motion Brief: The hero features a 3D data visualization with electric cyan glows. As users interact, data panels orbit slowly, revealing insights with light sweeps. The reduced-motion state simplifies animations for accessibility.

9. Non-Functional Requirements

• The application must provide a seamless and secure login experience for returning users. (Provenance: required_inference)
• The system should handle data analysis efficiently to provide timely insights. (Provenance: required_inference)

10. Tech Stack

• Frontend: React
• Backend: Python/FastAPI
• Storage: Appropriate database for storing user data and analysis results
• Deployment: Docker/docker-compose, Kubernetes if required

11. Assumptions and Constraints

• The application assumes users have a basic understanding of sports betting and analysis.
• The system is constrained to analyze data based on win-loss ratios and player injuries only.

12. Glossary

• Bettor: A user who places bets based on sports analysis.
• Win-Loss Ratio: A metric used to evaluate a team's performance based on their wins and losses.
• Player Injuries: Information regarding the health status of players, impacting team performance.